Abstract: There is provided a technique of managing an electrical power grid. The technique comprises, by a computer: processing timestamped data informative of weather conditions and of individual grid power consumption by a plurality of consumers to identify dual consumers connected to alternative power sources with power generating dependable on the weather conditions; for the dual consumers, forecasting alternative power production by respective connected alternative power sources; and using the provided forecast to enable management action(s) with regard to power production in the electrical power grid (e.g. issuing command(s) related to charging/discharging one or more batteries connected to the grid, controlling thermostat set-point change in a set of points connected to the grid, etc.).

Abstract: A technique of managing electrical power sharing between consumers connected to a local power grid by determining for each consumer, the amount of electrical power stored in a power storage and the amount of electrical power required for consumption; receiving a retail tariff and an export tariff for electrical power; calculating a total power consumption tariff, based on the total stored and required amount of electrical power; calculating a power sharing tariff based on the received retail tariff, the export tariff, and the total power consumption tariff. Also, determining a consumer to share electrical power based on the calculated power sharing tariff; and allocating energy resources between the consumer and a power storage to maintain balance within the local power grid. Calculation of the power sharing tariff is based on maintaining the total power consumption tariff such that a portion of the electrical power is maintained within the local power grid.

Abstract: Systems and methods of managing power distribution in a portion of an electrical power grid with at least one power storage, including: receiving at least one power consumption rule from at least one consumer of the power grid, analyzing power consumption data from at least one power consumption meter connected to the power grid, applying the at least one power consumption rule on the analyzed power consumption data, based on forecasted data, and managing power consumption for the at least one consumer, based on the result of the at least one power consumption rule, and also based on a power capacity status of the at least one power storage.

Abstract: System and method of disaggregating power consumption data, the method including receiving power consumption data from at least one power consumption meter, wherein the received power consumption data corresponds to at least one consumer, determining power consumption patterns from the received power consumption data, performing disaggregation of the received power consumption data and identifying at least one base load value for at least one consumer based on the power consumption patterns, grouping consumers into energetically similar groups based on the disaggregation, and providing energy saving recommendations to at least one consumer based on the disaggregation and grouping data.

Abstract: Systems and methods of determining power production in an electrical power grid, with receiving of weather data for a geographical area, wherein the weather data includes values corresponding to prospective production of power from a renewable energy source, collecting power consumption data for consumers of an electrical power grid in the geographical area, identifying at least one consumer having an inverse relationship between the collected power consumption data and received weather data, assigning a power

Abstract: Systems and methods of managing an electricity distribution grid, including receiving a layout of at least one electricity distribution grid coupled to at least one power distributor facility, each grid having at least two electrical power nodes, collecting data for at least one consumer of the electricity distribution grid, assigning a dynamic consumer value to each of the at least one consumer according to predefined attributes, determining aggregated power consumption values for each electrical power node, wherein for each electrical power node the aggregated power consumption values are received for all consumers assigned thereto, and allocating resources of the at least one power distributor facility, from the first electrical power node to the second electrical power node, if the difference between the compared consumer values exceeds a predetermined threshold.

Abstract: Systems and methods of managing an electricity distribution grid, including receiving a layout of at least one electricity distribution grid coupled to at least one power distributor facility, each grid having at least two electrical power nodes, collecting data for at least one consumer of the electricity distribution grid, assigning a dynamic consumer value to each of the at least one consumer according to predefined attributes, determining aggregated power consumption values for each electrical power node, wherein for each electrical power node the aggregated power consumption values are received for all consumers assigned thereto, and allocating resources of the at least one power distributor facility, from the first electrical power node to the second electrical power node, if the difference between the compared consumer values exceeds a predetermined threshold.

Abstract: There are provided a system and a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) configured to serve passengers in one or more trains moving in accordance with a train schedule. The method comprises: prior to a scheduled event associated with an expected substantive increase of passengers to be served by an AP, obtaining expected classification results indicative of an expected, during the scheduled event, load of the AP with respect to a downlink and/or uplink load thresholds; and at a scheduled time enabling providing pre-configured provisioning actions in accordance with the expected classification results. The method can further comprise collecting data informative of moving, responsive to moving the one or more trains in accordance with the train schedule, load between APs; and processing the collected data to obtain data informative of the expected load of the AP during the scheduled event.

Abstract: System and method of forecasting power consumption, including receiving power consumption data from at least one power consumption meter, wherein the received power consumption data corresponds to at least one consumer, determining power consumption patterns from the received power consumption data, forecasting future behavior of power consumption for at least one consumer, based on historical power consumption data and the power consumption patterns, and determining energy saving recommendations to at least one consumer based on the forecasting.

Abstract: System and method of disaggregating power consumption data, the method including receiving power consumption data from at least one power consumption meter, wherein the received power consumption data corresponds to at least one consumer, determining power consumption patterns from the received power consumption data, performing disaggregation of the received power consumption data and identifying at least one base load value for at least one consumer based on the power consumption patterns, grouping consumers into energetically similar groups based on the disaggregation, and providing energy saving recommendations to at least one consumer based on the disaggregation and grouping data.

Abstract: Systems and methods of determining power production in an electrical power grid, with receiving of weather data for a geographical area, wherein the weather data includes values corresponding to prospective production of power from a renewable energy source, collecting power consumption data for consumers of an electrical power grid in the geographical area, identifying at least one consumer having an inverse relationship between the collected power consumption data and received weather data, assigning a power production value to the identified consumers, based on a comparison between the collected power consumption data and received weather data, determining total power production in the electrical power grid for all identified consumers, comparing power consumption data to the received weather data, and determining type of renewable energy source based on a correlation between power consumption and weather data for the same time period.

Abstract: There are provided a system and a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) configured to serve passengers in one or more trains moving in accordance with a train schedule. The method comprises: prior to a scheduled event associated with an expected substantive increase of passengers to be served by an AP, obtaining expected classification results indicative of an expected, during the scheduled event, load of the AP with respect to a downlink and/or uplink load thresholds; and at a scheduled time enabling providing pre-configured provisioning actions in accordance with the expected classification results. The method can further comprise collecting data informative of moving, responsive to moving the one or more trains in accordance with the train schedule, load between APs; and processing the collected data to obtain data informative of the expected load of the AP during the scheduled event.

Abstract: There are provided a system and method of computerized optimizing neighbor relation tables (NRTs) of access points in a cellular network comprising a plurality of access points (APs). The method comprises: a) obtaining initial handover-related estimations for AP pairs each constituted by a given source AP and its neighbouring APs located in a predefined range and thereby considerable as candidates for an NRT of the given AP; b) generating a handover (HO) prediction model; c) using the generated HO prediction model to assess HO-related counts for each AP pair of the AP pairs; d) using the assessed HO-related counts to generate, by the computer, data usable for NRT optimization; and e) enabling modifying at least one NRT in accordance with the generated data.

Abstract: There are provided a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) and a system thereof.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There are provided a system and method of computerized optimizing neighbor relation tables (NRTs) of access points in a cellular network comprising a plurality of access points (APs). The method comprises: a) obtaining initial handover-related estimations for AP pairs each constituted by a given source AP and its neighbouring APs located in a predefined range and thereby considerable as candidates for an NRT of the given AP; b) generating a handover (HO) prediction model; c) using the generated HO prediction model to assess HO-related counts for each AP pair of the AP pairs; d) using the assessed HO-related counts to generate, by the computer, data usable for NRT optimization; and e) enabling modifying at least one NRT in accordance with the generated data.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There is provided a method of analyzing data collected in a cellular network and system thereof. The method comprises: repeatedly processing a first subset of the collected data to geo-locate mobile devices, thereby giving rise to geo-location data informative of geo-located mobile devices and associated time-stamped geo-locations thereof, wherein geo-locating is provided with the help of a geo-locating transformation function generated by unsupervised learning, by the processor, of a second subset of the collected data.